Pandas ImportError: matplotlib is required for plotting
Question:
Pandas does not recognize installed matplotlib library
here is the code
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
ts = pd.Series(np.random.randn(1000), index=pd.date_range('1/1/2000', periods=1000))
ts = ts.cumsum()
ts.plot()
error is
c:usersxxxxxappdatalocalprogramspythonpython36libsite-packagespandasplotting_core.py in _raise_if_no_mpl()
55 # TODO(mpl_converter): remove once converter is explicit
56 if not _HAS_MPL:
---> 57 raise ImportError("matplotlib is required for plotting.")
58
59
ImportError: matplotlib is required for plotting.
Answers:
You need to install matplotlib for that.
You can type and run the following command in your python shell to install matplotlib
python3 -mpip install matplotlib
If you are using Anaconda IDE, you can run the following command in the Conda command prompt
conda install matplotlib
Once installed, re-run the program.
Refer this page for installing matplotlib.
Installing matplotlib before installing pandas again made it work.
All you had to do is quit Pandas after installing matplotlib and start it again. This way it would see fresh installation. No need to reinstall Pandas.
I got the same error in Jupyter Lab. The solution is (after install of matplotlib):
Click Restart the Kernel button in the toolbar;
or
Choose menu item Kernel=>Restart Kernel and Run All Cells..., and click Restart in the confirmation dialog
Done!
Just install matplotlib by running this in your terminal:
pip install matplotlib
What I found is that pandas does its own importing using importlib, and it hides issues that are not related to importing matplotlib.
Instead what is really likely happening is that you have missmatched versions of pandas and matplotlib. In my case I had an old Pandas 1.3.5 and matplotlib 3.5.1 and downgrading matplotlib to 3.3.0 did the trick.
So it’s not about re-installing matplotlib as much as re-installing the proper version.
You can do the tesrt yourself, by running what the pandas code does
import importlib
importlib.load_module("pandas.plotting._matplotlib")
and see what kind of error pops up, which in turns is pivked up as an ImportError because it is in a try except block.
Pandas does not recognize installed matplotlib library
here is the code
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
ts = pd.Series(np.random.randn(1000), index=pd.date_range('1/1/2000', periods=1000))
ts = ts.cumsum()
ts.plot()
error is
c:usersxxxxxappdatalocalprogramspythonpython36libsite-packagespandasplotting_core.py in _raise_if_no_mpl()
55 # TODO(mpl_converter): remove once converter is explicit
56 if not _HAS_MPL:
---> 57 raise ImportError("matplotlib is required for plotting.")
58
59
ImportError: matplotlib is required for plotting.
You need to install matplotlib for that.
You can type and run the following command in your python shell to install matplotlib
python3 -mpip install matplotlib
If you are using Anaconda IDE, you can run the following command in the Conda command prompt
conda install matplotlib
Once installed, re-run the program.
Refer this page for installing matplotlib.
Installing matplotlib before installing pandas again made it work.
All you had to do is quit Pandas after installing matplotlib and start it again. This way it would see fresh installation. No need to reinstall Pandas.
I got the same error in Jupyter Lab. The solution is (after install of matplotlib):
Click Restart the Kernel button in the toolbar;
or
Choose menu item Kernel=>Restart Kernel and Run All Cells..., and click Restart in the confirmation dialog
Done!
Just install matplotlib by running this in your terminal:
pip install matplotlib
What I found is that pandas does its own importing using importlib, and it hides issues that are not related to importing matplotlib.
Instead what is really likely happening is that you have missmatched versions of pandas and matplotlib. In my case I had an old Pandas 1.3.5 and matplotlib 3.5.1 and downgrading matplotlib to 3.3.0 did the trick.
So it’s not about re-installing matplotlib as much as re-installing the proper version.
You can do the tesrt yourself, by running what the pandas code does
import importlib
importlib.load_module("pandas.plotting._matplotlib")
and see what kind of error pops up, which in turns is pivked up as an ImportError because it is in a try except block.